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English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as PhD Research Fellow in Machine Learning and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 10 hours ago
to a better understanding of innovative and molecular aspects of DNA damage repair, DNA damage response, single-strand break repair and signaling, and cancer therapeutics (Trends in Cell Biology, 2023
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for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing
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, Professor Venturi’s research program extends to unraveling the intricacies of bacterial cell-cell signaling within plant microbiomes. As a postdoc, you will delve into genomics and metagenomics data
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architectures for science Developing and advancing extreme-scale scientific data management, analysis, and visualization Developing and advancing next-generation machine learning, AI, and data science approaches
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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, postdocs, and external collaborators. Duties and Responsibilities Conduct independent research under supervision within the project framework Generate and analyze stable CRISPR knock-out and knock-in cell
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sematic technologies. Both groups have a dynamic and interactive working environment with good gender balance, consisting of full-time professors, researchers, and many postdocs and PhD candidates
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with hosts in other countries. Programme information for postdocs (PDF, 132 KB) Programme information for experienced researchers (PDF, 138 KB) Search for potential hosts in the Humboldt Network (German